Supercharge Your Innovation With Domain-Expert AI Agents!

Data processing learning method and system, and electronic device

A technology of data processing and learning methods, applied in the field of data processing, can solve problems such as reducing the efficiency of the learning process

Active Publication Date: 2018-03-23
深圳码隆智能科技有限公司
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of this, the purpose of the present invention is to provide a data processing and learning method, system and electronic equipment to solve the problems existing in the prior art, such as automation systems, in the process of learning and training data processing rules due to various original A large amount of noise data in the data affects the process of learning and training the data processing rules, thus reducing the efficiency of the learning process.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Data processing learning method and system, and electronic device
  • Data processing learning method and system, and electronic device
  • Data processing learning method and system, and electronic device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] In the data processing and learning method provided by the embodiment of the present invention, the process of data processing may be a process of recognizing objects in an image. Such as figure 1 shown, including:

[0046] S11: Perform initial data processing on the first target data to obtain feature data;

[0047] As another implementation manner of this embodiment, elements and features in the image may be extracted from the first target data according to the data processing model to obtain feature data.

[0048] S12: Divide each data type in the characteristic data into multiple data sets through a clustering algorithm;

[0049] S13: Calculate the characteristic data density in each data set to obtain a density value;

[0050] S14: Sorting multiple data sets according to the density value to obtain the maximum density value data set;

[0051] S15: Form a data processing model according to the maximum density value data set in each data type.

[0052] Wherein, ...

Embodiment 2

[0055] In the data processing and learning method provided by the embodiment of the present invention, the data processing process may also be a process of recognizing objects in an image. Such as figure 2 shown, including:

[0056] S21: Perform feature extraction on the first target data according to the data processing model to obtain feature data.

[0057] Specifically, elements and features in the image may also be extracted from the first target data according to the data processing model to obtain feature data.

[0058] S22: Divide the characteristic data into several data types through a clustering algorithm, and divide the characteristic data in each data type into multiple data sets.

[0059] S23: Calculate the characteristic data density in each data set to obtain a density value;

[0060] S24: Sorting the multiple data sets from large to small according to the density values ​​to obtain the maximum density value data set.

[0061] S25: Combine the maximum densi...

Embodiment 3

[0067] A data processing and learning system provided by an embodiment of the present invention, such as image 3 As shown, the data processing learning system 3 may include: an initial processing module 31 , a clustering module 32 , a density calculation module 33 , a density sorting module 34 and a model forming module 35 .

[0068] As a preferred solution, the initial processing module 31 may be used to perform initial data processing on the first target data to obtain feature data. The clustering module 32 can be used to divide each data type in the feature data into multiple data sets through a clustering algorithm.

[0069] Furthermore, the density calculation module 33 can be used to calculate the characteristic data density in each data set to obtain a density value. The density sorting module 34 can be used for sorting a plurality of data sets according to the density value to obtain the maximum density value data set;

[0070] In practical applications, the model f...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention provides a data processing learning method and system, and an electronic device, and relates to the field of data processing technology. The data processing learning method comprises the steps of: performing initial data processing of first target data, and obtaining feature data; dividing each data type in the feature data into a plurality of data sets by employing a clustering algorithm; calculating one feature data density in each data set, and obtaining density values; performing sorting of the data sets according to the density values, and obtaining data sets with the maximum density value; and forming a data processing model according to one data set with the maximum density value in each data type, wherein, the data processing model is configured to perform initial data processing of second target data. The technical problems can be solved that various original data comprise lots of noise data to influence a process of learning and training of a data processing rule when a system such as automation and the like perform learning and training of the data processing rule to cause reduction of learning process efficiency in the prior art.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a data processing and learning method, system and electronic equipment. Background technique [0002] Data (Data) is an expression of facts, concepts or instructions that can be processed by automated devices. Data becomes information when it is interpreted and given meaning. Data processing is the collection, storage, retrieval, processing, transformation and transmission of data. [0003] At present, the basic purpose of data processing is to extract and deduce valuable and meaningful data for some specific people from a large amount of data that may be messy and difficult to understand. Data processing is the basic link of system engineering and automatic control. Data processing is the technical process of analyzing and processing data. The process of data processing includes the processing and processing of analysis, sorting, calculation, editing, etc. of various...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06N99/00
CPCG06N20/00
Inventor 黄鼎隆马修·罗伯特·斯科特傅恺郭胜
Owner 深圳码隆智能科技有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com